[1]} can extract multi-scale features from two branches. These branches are L-Branch and S-Branch, where the former uses a larger patch size and the latter uses a smaller patch size. By using the dual-branch structure, the model is able to obtain different scales of spatial information. To fuse the spatial information between the branches, Cross Attention is applied by inserting the class token from one to the other.
